Air Raid
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 2704 Accepted Submission(s): 1762
Problem Description
Consider a town where all the streets are one-way and each street leads from one intersection to another. It is also known that starting from an intersection and walking through town's streets you can never reach the same intersection i.e. the town's streets form no cycles.
With these assumptions your task is to write a program that finds the minimum number of paratroopers that can descend on the town and visit all the intersections of this town in such a way that more than one paratrooper visits no intersection. Each paratrooper lands at an intersection and can visit other intersections following the town streets. There are no restrictions about the starting intersection for each paratrooper.
With these assumptions your task is to write a program that finds the minimum number of paratroopers that can descend on the town and visit all the intersections of this town in such a way that more than one paratrooper visits no intersection. Each paratrooper lands at an intersection and can visit other intersections following the town streets. There are no restrictions about the starting intersection for each paratrooper.
Input
Your program should read sets of data. The first line of the input file contains the number of the data sets. Each data set specifies the structure of a town and has the format:
no_of_intersections
no_of_streets
S1 E1
S2 E2
......
Sno_of_streets Eno_of_streets
The first line of each data set contains a positive integer no_of_intersections (greater than 0 and less or equal to 120), which is the number of intersections in the town. The second line contains a positive integer no_of_streets, which is the number of streets in the town. The next no_of_streets lines, one for each street in the town, are randomly ordered and represent the town's streets. The line corresponding to street k (k <= no_of_streets) consists of two positive integers, separated by one blank: Sk (1 <= Sk <= no_of_intersections) - the number of the intersection that is the start of the street, and Ek (1 <= Ek <= no_of_intersections) - the number of the intersection that is the end of the street. Intersections are represented by integers from 1 to no_of_intersections.
There are no blank lines between consecutive sets of data. Input data are correct.
no_of_intersections
no_of_streets
S1 E1
S2 E2
......
Sno_of_streets Eno_of_streets
The first line of each data set contains a positive integer no_of_intersections (greater than 0 and less or equal to 120), which is the number of intersections in the town. The second line contains a positive integer no_of_streets, which is the number of streets in the town. The next no_of_streets lines, one for each street in the town, are randomly ordered and represent the town's streets. The line corresponding to street k (k <= no_of_streets) consists of two positive integers, separated by one blank: Sk (1 <= Sk <= no_of_intersections) - the number of the intersection that is the start of the street, and Ek (1 <= Ek <= no_of_intersections) - the number of the intersection that is the end of the street. Intersections are represented by integers from 1 to no_of_intersections.
There are no blank lines between consecutive sets of data. Input data are correct.
Output
The result of the program is on standard output. For each input data set the program prints on a single line, starting from the beginning of the line, one integer: the minimum number of paratroopers required to visit all the intersections in the town.
Sample Input
2
4
3
3 4
1 3
2 3
3
3
1 3
1 2
2 3
Sample Output
2
1
Source
思路:在做hdu3861(The King's Problem)的时候,题目大意看一遍又一遍也不明白测试用例。
And the king must insure that in each state we can ether go from u to v or go from v to u between every pair of cities (u, v) without passing any city which belongs to other state.然后在参考网上题目解释才突然明白缩点之后求DAG上最小路径覆盖的,因为之前没涉及到这个问题,所有读题目都成问题,
看来“同志仍需努力啊”,我的小伙伴们都踢球去了,我毅然决定呆在computer lab研究一下,最小路径覆盖和二分匹配的关系。
这到题目算是二分匹配的入门题目了,然后每次选择未被覆盖的点,去找增广路,用DFS实现匈牙利算法。
#include <cstdio> #include <vector> #include <cstring> #include <algorithm> #include <iostream> using namespace std; const int maxn = 120+10; vector<int> G[maxn]; int from[maxn], tot; bool use[maxn]; int gn, gm; //Accepted 1151 0MS 332K 1104 B G++ Achiberx bool match(int x) { for(int i = 0; i < (int)G[x].size(); i++) { int v = G[x][i]; if(!use[v]) { use[v] = true; if(from[v] == -1 || match(from[v])) { from[v] = x; return true; } } } return false; } int hungary() { tot = 0; memset(from, -1, sizeof(from)); for(int i = 1; i <= gn; i++) { memset(use, false, sizeof(use)); if(match(i)) tot++; } return tot; } int main() { int T, u, v; scanf("%d", &T); while(T--) { scanf("%d%d", &gn, &gm); for(int i = 0; i < maxn; i++) G[i].clear(); for(int i = 1; i <= gm; i++) { scanf("%d%d", &u, &v); G[u].push_back(v); } int res = hungary(); printf("%d ", gn-res); } }